{"id":"W2103330559","doi":"10.1111/j.1471-8286.2007.01748.x","title":"Universal primer cocktails for fish DNA barcoding","year":2007,"lang":"en","type":"article","venue":"Molecular Ecology Notes","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1492,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust; Ontario Genomics Institute; Genome Canada; Gordon and Betty Moore Foundation","keywords":"Primer (cosmetics); Biology; DNA barcoding; Barcode; Polymerase chain reaction; Computational biology; Genetics; Fishery; Gene; Evolutionary biology; Computer science; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006842709,0.003238283,0.002516537,0.002673904,0.001052501,0.001063303,0.002429106,0.001848158,0.007695851],"category_scores_gemma":[0.01151845,0.003249806,0.001822134,0.001599132,0.00118099,0.001860018,0.002493555,0.002828702,0.004553162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006448197,"about_ca_system_score_gemma":0.001386286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003394412,"about_ca_topic_score_gemma":0.001058324,"domain_scores_codex":[0.9897261,0.003047784,0.001678232,0.002637293,0.002252148,0.000658382],"domain_scores_gemma":[0.9939137,0.002394567,0.001010814,0.000970108,0.001382272,0.0003285401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005558566,0.0001543119,0.001111347,0.001346336,0.0001552731,0.0002240046,0.0001708814,0.001915377,0.9493766,0.001559994,0.00148838,0.04194157],"study_design_scores_gemma":[0.0001966764,0.002049773,0.001419886,0.0003118525,0.0003771227,0.00145121,0.00007337536,0.008375635,0.9452761,0.002074355,0.03827947,0.0001145491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08026835,0.006166367,0.9000722,0.0003312214,0.0004726615,0.004065095,0.002187372,0.003741872,0.002694927],"genre_scores_gemma":[0.06445652,0.002101893,0.9201396,0.0005285512,0.00006376471,0.00512012,0.004204076,0.0003993901,0.002986192],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007695851,"threshold_uncertainty_score":0.03618813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790464784493647,"score_gpt":0.2806324638335562,"score_spread":0.2627278159886198,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}